Switch to
| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
|
| pubmed:dateCreated |
1993-5-26
|
| pubmed:abstractText |
Information theory is used to provide a measure of selectivity, i.e., the degree to which a drug has preferential toxicity or growth inhibition for one or a few cell lines from a large panel. The selectivity measure is intended to complement a measure of differential growth inhibition in evaluating the drug development potential of a new compound. Also, a similarity measure obtained from information theory is used to classify drugs according to their pattern of responses on the panel. Some structure-activity relations emerge. This work is applied to 176 agents selected to be tested by the National Cancer Institute in about 50 cell lines.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:issn |
1054-3406
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
2
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
31-48
|
| pubmed:dateRevised |
2004-11-17
|
| pubmed:meshHeading |
pubmed-meshheading:1300204-Animals,
pubmed-meshheading:1300204-Antineoplastic Agents,
pubmed-meshheading:1300204-Drug Screening Assays, Antitumor,
pubmed-meshheading:1300204-Humans,
pubmed-meshheading:1300204-Information Theory,
pubmed-meshheading:1300204-Structure-Activity Relationship,
pubmed-meshheading:1300204-Tumor Cells, Cultured
|
| pubmed:year |
1992
|
| pubmed:articleTitle |
Exploratory data analytic techniques to evaluate anticancer agents screened in a cell culture panel.
|
| pubmed:affiliation |
National Cancer Institute, Bethesda, Maryland 20892.
|
| pubmed:publicationType |
Journal Article
|